Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wangwei1237/agent-skills --skill storm-skillgit clone --depth 1 https://github.com/wangwei1237/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wangwei1237/agent-skills/storm-skill)<a href="https://agentmods.dev/skills/wangwei1237/agent-skills/storm-skill"><img src="https://agentmods.dev/badge/skills/wangwei1237/agent-skills/storm-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wangwei1237/agent-skills/storm-skill"><img src="https://agentmods.dev/badge/skills/wangwei1237/agent-skills/storm-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.01381 |
| Opus 5.5 | $0.00029 | $0.00552 |
| Sonnet 5.5 | $0.00014 | $0.00276 |
| Haiku 4.5 | $0.00007 | $0.00138 |
Grade A, and why
storm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STORM
Use STORM to research a topic through multiple perspectives, retrieve evidence, expose contradictions, synthesize an actionable briefing, and audit the result.
STORM here abstracts Stanford OVAL's "Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking" into an agent workflow. It preserves the core pattern: perspective-guided question asking, evidence retrieval, outline/synthesis, drafting, and polishing.
When to Use
Use this skill when the task needs:
- A nuanced briefing on a broad, contested, or high-stakes topic.
- Research grounded in external sources or a user-provided corpus.
- Multiple viewpoints before forming a recommendation.
- Contradiction, incentive, blind-spot, or evidence-quality analysis.
- A structured outline or long-form report with citations.
Do not use it for simple factual lookups, purely local code edits, or opinions that do not need research.
Core Workflow
1. Scope
Clarify or infer:
topic: the subject being researched.user_role: who will act on the findings, if relevant.output: briefing, outline, report, decision memo, test plan, roadmap, etc.source_mode: live web, repository/docs, uploaded files, database, or user-provided text.depth: quick, standard, or exhaustive.
If the topic is current, niche, medical, legal, financial, or otherwise high-risk, retrieve current sources before synthesizing. If retrieval is unavailable, state the limitation and ask for source material or proceed as an explicitly source-limited analysis.
2. Multi-Perspective Research
Research {topic} by simulating 5 expert perspectives:
- The practitioner: works with this topic every day. What do they know that academics miss? Which practical realities are usually ignored?
- The academic: has studied this topic for years. What does peer-reviewed evidence actually say? Where does evidence contradict popular belief?
- The skeptic: thinks the mainstream view is wrong. What is the strongest counterargument? What evidence do proponents tend to ignore?
- The economist: follows the money. Who benefits from the current narrative? What incentives shape the research or discourse?
- The historian: has seen similar patterns before. What historical parallels exist? What can be learned from how those cases played out?
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 134 lines · 72 tokens per session scan A 31d253881be4
storm is a skill published in the GitHub repository wangwei1237/agent-skills (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,381 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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